NDLI: Predicting fruit maturity stage dynamically based on fuzzy recognition and color feature

Content Provider	IEEE Xplore Digital Library
Author	Qingmei Xiao Wendi Niu Hong Zhang
Copyright Year	2015
Description	Author affiliation: Sch. of Comput. & Inf. Sci., Southwest Univ., Chongqing, China (Qingmei Xiao; Wendi Niu; Hong Zhang)
Abstract	Developing and ripening fruit are often classified for vary purposes according to its maturity classes. We propose an approach that predicts tomato fruit maturity stage during development and ripening according to their surface color. Tomato fruit maturity is divided into four stages in which the ripening time is short. The purpose of this paper is forecasting tomato fruit surface color change process which is reflected in surface color during every maturity stage based on temperature conditions. Fruits' current status should be get using fuzzy recognition before forecasting their maturity stage. This approach allows user to input the forecasting short-term temperature so as to get the ripening process dynamically during every maturity stage. This can lead to a decision making for farmer to maximize the profit.
Starting Page	944
Ending Page	948
File Size	322545
Page Count	5
File Format	PDF
ISBN	9781479983520
ISSN	23270594
e-ISBN	9781479983537
DOI	10.1109/ICSESS.2015.7339210
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predict Image segmentation Temperature Image color analysis Color Market research Fuzzy Recognition Maturity stage Forecasting Surface treatment Standards
Content Type	Text
Resource Type	Article

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